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clinical research. Experience with statistical programming and use of statistical computer packages (e.g., SPSS, SAS, Stata, R, Python, JASP). Demonstrated skill in ability to work in a team environment and
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accurate data collection, analysis, and interpretation. Uphold data governance policies and ensure compliance with FERPA and institutional privacy standards. Use programming languages like Python, SQL, or R
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and mentoring to build analytics fluency across the audit team. Innovation, Automation & Tool Evaluation: Evaluate and recommend tools (e.g., Python, R, SQL, ACL, IDEA) to expand department capabilities
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related field. 4+ yrs experience in front-end and back-end technologies (e.g., JavaScript, React, Node.js, Python, or similar). Proficiency with database management systems (SQL, NoSQL) and API development
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knowledge of cloud platforms (AWS, Azure, or Google Cloud) and infrastructure management. Proficiency in scripting and automation using Python, Bash, or Terraform. Experience with real-time data processing
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field. Strong experience with AI/ML techniques, including RL, DL, and GANs. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, JAX or similar). Experience developing and integrating AI models
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tools (e.g., Excel, Tableau, Power BI, R, or Python). Proficiency in interpreting and applying sponsor guidelines, federal and state regulations, and institutional policies to ensure compliance during
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experience to oversee vendor assisted deployments. Proficiency in scripting languages such as Python, along with knowledge of automation frameworks like Ansible to automate network tasks and streamline